Application of Statistical Process Control in Automotive Manufacturing

This research looks at how “statistical process control”, or SPC, is used in the automotive sector and highlights how it can improve production efficiency, lower defect rates, and improve process quality. SPC is crucial to the monitoring and control of the complex assembly processes and strict quality standards that define the automobile sector. The efficiency of several SPC methods, including control charts and process capability analysis (Cp and Cpk), in preserving process stability and fulfilling quality criteria is assessed in this study. The study shows how these technologies may detect process variations and direct appropriate adjustments to optimize output using simulated data analysis. The results highlight how crucial SPC is to attaining consistent product quality and reliability, which raises performance and safety requirements in the automotive sector.

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Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2024-09-10
DOI
https://doi.org/10.22214/ijraset.2024.64176
Citations
2
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
0.70
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article

Application of Statistical Process Control in Automotive Manufacturing

Aryan jha
2 citations
International Journal for Research in Applied Science and Engineering Technology
Manufacturing Process and Optimization
0.70
article

Application of Statistical Process Control in Automotive Manufacturing

Aryan jha
article en
2 citations

Abstract

This research looks at how “statistical process control”, or SPC, is used in the automotive sector and highlights how it can improve production efficiency, lower defect rates, and improve process quality. SPC is crucial to the monitoring and control of the complex assembly processes and strict quality standards that define the automobile sector. The efficiency of several SPC methods, including control charts and process capability analysis (Cp and Cpk), in preserving process stability and fulfilling quality criteria is assessed in this study. The study shows how these technologies may detect process variations and direct appropriate adjustments to optimize output using simulated data analysis. The results highlight how crucial SPC is to attaining consistent product quality and reliability, which raises performance and safety requirements in the automotive sector.

International Journal for Research in Applied Science and Engineering TechnologyVol. 12(9)
ITM University (IN)
Openalex Percentile: Top 26%
Manufacturing Process and Optimization
0.70
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